We are building a computer vision model that is able to analyze and segment architectural floor plans based on room type. We need labelers to find and annotate floor-plan images using Roboflow with polygon and segmentation tools. Labeling tasks include: - Drawing polygon masks around each room shown in an architectural floor plan. - Labeling each room with an occupancy type (e.g., Bedroom, Bathroom, Corridor, Storage, Mechanical, Office, etc.). - Ensuring polygons are clean, non-overlapping, and accurately follow the printed room boundaries. - Verifying that text labels (e.g., room names) correspond to the assigned occupancy type. Dataset details: - Source files are images extracted from architectural PDFs and high-resolution raster images. - Floor plans vary widely in style, clarity, and density (residential, commercial, mixed-use). - Each file requires 15-20+ individual labeled items (polygons + room type tags). Skillsets required: - Experience with polygon/segmentation labeling in Roboflow or similar technology. - Ability to accurately interpret architectural drawings (walls, boundaries, room name text, abbreviations). - Basic familiarity with building layouts is preferred but not required; detailed instructions and examples will be provided. - Strong attention to detail and consistency. This dataset will be used to train a segmentation model for automated room detection and occupancy classification within architectural drawings.
Total Budget
$5,000
Pay per Label
$10/hr
Time Requirement
20+ hrs/week
Duration
3-6 months
Architectural Floor Plans
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Required Location
Workload / Schedule
Need 250+ new datapoints labeled each week, long-term
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Label Types
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